Abstract: Methods and systems for secure computation and communication are described herein. The method includes transforming identifications of a first dataset using a transforming scheme, dispatching the transformed identifications of the first dataset, receiving identifications of a second dataset, transforming the identifications of the second dataset, dispatching the transformed identifications of the second dataset, receiving a set of identifications, generating a first intersection of the received set of identifications and the transformed identifications of second dataset, and determining a first permutation based on the first intersection. The method also includes performing an oblivious shuffling based on the first permutation and a set of attributions to generate a first share. A size of the first share is the same as a size of the first intersection. The method further includes receiving a second share and constructing a first result based on the first share and the second share.

Abstract: Techniques for face tracking comprise receiving landmark data associated with a plurality of images indicative of at least one facial part. Representative images corresponding to the plurality of images may be generated based on the landmark data. Each representative image may depict a plurality of segments, and each segment may correspond to a region of the at least one facial part. The plurality of images and corresponding representative images may be input into a neural network to train the neural network to predict a feature associated with a subsequently received image comprising a face. An animation associated with a facial expression may be controlled based on output from the trained neural network.

Abstract: The present disclosure describes techniques of detecting objects in a video. The techniques comprises extracting features from each frame of the video; generating a first attentive feature by applying a first attention model on at least some of features extracted from any particular frame among the plurality of frames, wherein the first attention model identifies correlations between a plurality of locations in the particular frame by computing relationships between any two locations among the plurality of locations; generating a second attentive feature by applying a second attention model on at least one pair of features at different levels selected from the features extracted from the particular frame, wherein the second attention model identifies a correlation between at least one pair of locations corresponding to the at least one pair of features; and generating a representation of an object included in the particular frame.

Abstract: Provided are a processing method and apparatus, an electronic device and a medium. The method includes steps described below. A target video is acquired; video information of the target video is determined; copy information corresponding to the video information is generated by using a video description model, where the copy information is generated by using the video description model and based on a task prompt and a copy keyword. Through this method, the video description model is constrained based on the task prompt and the copy keyword, so that the copy information of the target video is generated more accurately, and the coupling degree between the copy information and the target video is improved.

Abstract: The present disclosure describes storage techniques for hybrid transactional and analytical processing. Data captured by a first processing engine may be received. The first processing engine may be configured to perform online transactional processing). Multiple replicas of logical logs generated based on the data may be distributed to a Delta Store by applying a quorum protocol on the multiple replicas. Data in the Delta Store are stored in a row format and are visible to a query for online analytical processing performed by a second processing engine. Data may be flushed from the Delta Store to a Base Store based on one or more predetermined rules. Data in the Base Store are stored in a columnar format and may be accessible by the second processing engine.

Abstract: Methods, systems, apparatus for media processing are described. One example method of digital media processing includes determining, for a conversion between visual media data and a bitstream of the visual media data, how to apply one or more convolutional neural network filters to at least some samples of a video unit of the visual media data according to a rule; and performing the conversion based on the determining.

Abstract: The present disclosure describes techniques for implementing fast and reliable metadata operations. A metadata area instance may be created in a persistent memory associated with a host. The metadata area instance may comprise a first portion configured to store an initial state of metadata, a second portion configured to store an actual state of the metadata, and a third portion configured to store a plurality of modifications to the metadata. A main copy of the metadata may be generated by performing write operations in the metadata area instance. The main copy of the metadata may be updated based on receiving information indicative of a modification to the metadata.

Abstract: Systems, methods and apparatus for encoding, decoding or transcoding visual media data are described. One example method of processing visual media data includes performing a conversion between visual media data and a bitstream of the visual media data including multiple layers according to a format rule; wherein the format rule specifies that a supplemental enhancement information (SEI) message is included in the bitstream to indicate that it is allowed for a decoder to decode 1) a dependent random access point (DRAP) picture in a layer associated with the SEI message and/or 2) pictures included in the layer and following the DRAP picture in a decoding order and an output order, without having to decode other pictures in the layer except for an intra random access point (IRAP) picture associated with the DRAP picture.

Abstract: Systems and methods for generating a virtual article of clothing at a display are described. Some examples may include: obtaining video data and audio data, analyzing the video data to determine one or more body joints of a target object appearing in the video data. A mesh based on the determined one or more body joints may be generated. The audio data may be analyzed to determine audio characteristics associated with the audio data. Texture rendering information associated with a virtual article of clothing may be determined based on the audio characteristics. A rendered video may be generated by rendering the virtual article of clothing to the generated mesh using the texture rendering information.

Abstract: The present disclosure describes techniques for social networking based on trading asset items. The techniques comprise sending a request by a first client computing device for connecting with a second client computing device, displaying a first video comprising a first user and a second video comprising a second user on an interface, determining a first body part of the first user based on a selection of a representative of a first asset item associated with the second user, determining a position of rendering an image of the first asset item on the interface, rendering the image of the first asset item and combining the image into the first video for display of an effect of the first asset item being tried on the first body part of the first user, and receiving the first asset item from the second user based on the effect and user input.

Abstract: The present disclosure describes techniques for automatically and fast generating music for videos. The techniques comprise receiving a video from a user. The video may comprise a plurality of segments of frames. Information may be extracted from the video, wherein the extracted information comprises information indicating motion speed in the video, information indicating motion saliency in the video, information indicating scene transition in the video, and timing information associated with the video. A plurality of sets of music notes matching the plurality of segments of frames may be generated based at least in part on the extracted information. A plurality of vectors corresponding to the plurality of sets of music notes may be generated. The plurality of pieces of music audio corresponding to the plurality of segments of frames may be generated based at least in part on the plurality of vectors.

Abstract: The application provides an apparatus, a system, a detector and a detection method for power supply voltage detection.

Abstract: In a method for superposition of multiple commands, one or more memory pages is received. The one or more memory pages include information corresponding to one or more code lines and one or more data lines. The one or more code lines correspond to a first set of layers in a memory layer and are configured to execute one or more functions. The one or more data lines correspond to a second set of layers in the memory layer and are configured to store one or more sets of data. Each of the one or more code lines from the one or more memory pages is executed to perform one or more corresponding functions, based on the one or more data lines from the one or more memory pages. A result of each of the one or more functions is stored within the one or more data lines.

Abstract: Embodiments of the present disclosure provide an end-cloud collaborative media data processing method and apparatus, a device and a storage medium, where the method includes: calling a target processing flow in response to a first operation triggering a target functionality, where the target processing flow includes a local algorithm node and a remote algorithm node, and the target functionality is used for adding a special effect to media data to be processed; executing, based on the target processing flow, a corresponding local algorithm node and remote algorithm node to obtain first processing data output by the local algorithm node and second processing data output by the remote algorithm node; and generating third processing data through the first processing data and/or the second processing data.

Abstract: Systems, methods and apparatus for storing or parsing a visual media file according a file format include performing a conversion between a visual media data and a visual media file that stores a bitstream of the visual media data according to a format rule. The visual media file stores one or more tracks comprising one or more video layers. The format rule specifies that whether a first set of syntax elements indicative of layer dependency information is stored in the visual media file is dependent on whether a second syntax element indicating that all layers in the visual media file are independent has a value 1.

Abstract: Systems, methods and apparatus for encoding or decoding a file format that stores one or more images are described. One example method includes performing a conversion between a visual media file and a bitstream of a visual media data according to a format rule, where the format rule specifies a condition that controls whether an information item is included in a non-video coding layer track of the visual media file, and where a presence of the non-video coding layer track in the visual media file is indicated by a specific track reference in a video coding layer track of the visual media file.

Abstract: Provided are an effect video determination method and apparatus, an electronic device and a storage medium. The method includes: acquiring effect operation information in a process of shooting a video, where the effect operation information includes at least one of a speech effect operation, a touch effect operation or a gesture effect operation; retrieving a target to-be-added effect corresponding to the effect operation information from an effect repository; fusing the target to-be-added effect and a to-be-processed video frame to determine a target effect video frame; and determining a target effect video based on a plurality of target effect video frames.

Abstract: Systems, methods and apparatus for processing visual media data are described. One example method includes performing a conversion between visual media data and a visual media file including one or more tracks storing one or more bitstreams of the visual media data according to a format rule; wherein the format rule specifies whether a first element indicative of whether a track contains a bitstream corresponding to a specific output layer set controls whether a second element indicative of a chroma format of the track and/or a third element indictive of a bit depth information of the track is included in a configuration record of the track.

Abstract: Systems and method directed to an inversion-consistent transfer learning framework for generating portrait stylization using only limited exemplars. In examples, an input image is received and encoded using a variational autoencoder to generate a latent vector. The latent vector may be provided to a generative adversarial network (GAN) generator to generate a stylized image. In examples, the variational autoencoder is trained using a plurality of images while keeping the weights of a pre-trained GAN generator fixed, where the pre-trained GAN generator acts as a decoder for the encoder. In other examples, a multi-path attribute aware generator is trained using a plurality of exemplar images and learning transfer using the pre-trained GAN generator.